code: def test_DistributedItemSampler(
      num_ids, num_workers, drop_last, drop_uneven_inputs
  ):
      nprocs = 4
      batch_size = 4
      item_set = gb.ItemSet(
          torch.arange(0, num_ids), names="seed_nodes"
      )
  
      # On Windows, if the process group initialization file already exists,
      # the program may hang. So we need to delete it if it exists.
      if platform == "win32":
          try:
              os.remove(os.path.join(os.getcwd(), "dis_tempfile"))
          except FileNotFoundError:
              pass
  
      mp.spawn(
          distributed_item_sampler_subprocess,
          args=(
              nprocs,
              item_set,
              num_ids,
              num_workers,
              batch_size,
              drop_last,
              drop_uneven_inputs,
          ),
          nprocs=nprocs,
          join=True,
      )
  
imports: import os
  import re
  from sys import platform
  import dgl
  import pytest
  import torch
  import torch.distributed
  import torch.multiprocessing
  from dgl import graphbolt
  from torch.testing import assert_close
label_desc: Use image node_id 19 for calling a global function with example usage: test_DistributedItemSampler(num_ids, num_workers, drop_last, drop_uneven_inputs) without return types